Distributed state-of-charge secure balance control for battery energy storage systems under probabilistic input time-delays

被引：0

作者：

Lu, Kun-Jie ^{[1
]}

Tian, En-Gang ^{[2
]}

Wang, Li-Cheng ^{[3
]}

机构：

[1] School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai

[2] School of Optical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai

[3] College of Automation Engineering, Shanghai University of Electric Power, Shanghai

来源：

Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2024年 / 41卷 / 12期

基金：

中国国家自然科学基金; 上海市自然科学基金;

关键词：

battery energy storage systems; DC microgrids; probabilistic input time-delays; state-of-charge balance;

D O I：

10.7641/CTA.2023.20926

中图分类号：

学科分类号：

摘要：

This paper investigates the distributed state-of-charge (SOC) security balancing control problem of battery energy storage systems (BESSs) in DC microgrids subjected to probabilistic input time-delay. Since the signals between the controller and the BESS unit are mainly transmitted through the wireless network, and the transmission distance is relatively long, the input time-delay is a major factor affecting the SOC balancing control. Therefore, a Bernoulli distribution random variable with known probability is introduced to characterize the phenomenon of the probabilistic input time-delay, and an improved distributed equalization strategy is proposed to achieve the SOC equalization control under probabilistic input time-delay. With the help of the Lyapunov stability theory, sufficient conditions for the consensus error system to realize the SOC equalization of the BESSs under certain constraints are established. Finally, a series of numerical simulation experiments verify the effectiveness of the equalization scheme. © 2024 South China University of Technology. All rights reserved.

引用

页码：2374 / 2382

页数：8

共 22 条

[1] CHEN Gang, LI Zhiyong, ZHAO Zhongyuan, Distributed optimal droop control in micro-grid systems, Control Theory & Applications, 33, 8, pp. 999-1006, (2016)
[2] ZHANG Bo, DOU Chunxia, YUE Dong, Et al., Distributed active power-voltage regulation strategy for microgrids in islanded AC microgrid cluster, Control Theory & Applications, 38, 7, pp. 897-912, (2021)
[3] DONG Mi, LI Li, SU Mei, Et al., Distributed secondary voltage-frequency recovery control algorithm for economic operation of microgrid, Control Theory & Applications, 36, 3, pp. 461-472, (2019)
[4] KHAZAEI J, NGUYEN D H., Multi-agent consensus design for heterogeneous energy storage devices with droop control in smart grids, IEEE Transactions on Smart Grid, 10, 2, pp. 1395-1404, (2019)
[5] POULLIKKAS A., A comparative overview of large-scale battery systems for electricity storage, Renewable and Sustainable Energy Reviews, 27, pp. 778-788, (2013)
[6] BI K, SUN L, AN Q, Et al., Active SOC balancing control strategy for modular multilevel super capacitor energy storage system, IEEE Transactions on Power Electronics, 34, 5, pp. 4981-4992, (2019)
[7] LIN X, ZAMORA R, BAGULEY C A., A fully filter-based decentralized control with state of charge balancing strategy for battery energy storage systems in autonomous DC microgrid applications, IEEE Access, 9, pp. 15028-15040, (2021)
[8] MAHARJAN L, INOUE S, AKAGI H, Et al., State-of-charge (SOC)balancing control of a battery energy storage system based on a cascade PWM converter, IEEE Transactions on Power Electronics, 24, 6, pp. 1628-1636, (2009)
[9] ZENG Y, ZHANG Q, LIU Y, Et al., An improved distributed secondary control strategy for battery storage system in DC shipboard microgrid, IEEE Transactions on Industry Applications, 58, 3, pp. 4062-4075, (2022)
[10] ZHOU Xichao, HONG Yujin, XIA Yan, Et al., SOC balanced control strategy for battery energy storage system based on multiple-agent, Zhejiang Electric Power, 39, 5, pp. 35-40, (2020)

← 1 2 3 →